Docteur – Application of interpretable and stability/safety guaranteed Neural Networks M/F

NOTRE OFFRE CONTEXT Capgemini Engineering, integral part of the Capgemini Group, combines, under one brand, a unique set of strengths from across the Capgemini Group: the world leading engineering and R&D services of Capgemini Engineering – acquired by Capgemini in 2020 – and Capgemini’s digital manufacturing expertise. With broad industry knowledge and cutting-edge technologies in digital and software, Capgemini Engineering supports the convergence of the physical and digital worlds. Combined with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 52,000 engineer and scientist team members in over 30 countries across sectors including aeronautics, automotive, railways, communications, energy, life sciences, semiconductors, software & internet, aerospace & defence, and consumer products. VOS RESPONSABILITÉS MISSIONS The objective of our research project is to work on the application of interpretable and stability/safety guaranteed Neural Networks to the solution of real-world problems. Under the direction of the programme supervisor and in collaboration with data scientists within the Hybrid Intelligence team of Capgemini Engineering, your work will consist of, among others; * Undertaking research activities within the scope of the project and Monitoring other research in the field (e.g. papers, conferences) * Participate in technical reviews of the project * Contribute to agreeing on the scientific/technical approaches to then be applied in your project area * Participate in meetings with industry and academic partners * Participate in the writing of articles, scientific reports and technical presentations * Participate in internal Capgemini Engineering meetings as part of the team * Work closely with other data scientists and AI experts within the Capgemini Engineering organisation VOTRE PROFIL PROFILE * You just defended your PhD thesis in a relevant area (e.g. Computer Science, Statistics, Applied Maths, Physical Sciences, Engineering) or you are in post-doc * A genuine enthusiasm for using data science, analytics, machine learning etc to solve complex problems * Familiarity with the mathematical underpinning of Neural Network architectures * Proficiency in relevant programming languages (e.g. Python, Matlab, R) * Familiarity with relevant libraries (e.g. data processing, ML/DL/AI and visualization) * Proficiency in using collaborative development tools (e.g. GitHub, Bitbucket) * Strong soft skills, in particular communication and collaboration * Ability to contribute to a multidisciplinary team and to work independently * Fluency in French and English Is a plus Familiarity with Agile project processes Knowledge of control theory Knowledge of novel paradigms and methods in ML & AI e.g. explainability of AI SKILLS * Data science, analytics, machine learning * Neural network architectures * Proficiency in relevant programming languages * Familiarity with relevant libraries (e.g. data processing, ML/AI/Deep Learning * Proficiency in using colloborative tools (e.g. GitHub, Bitbucket)